Cognitive Machine-Learning Algorithm for Cardiac Imaging A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy

摘要

Background-Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool would be well suited for learning and recalling multidimensional attributes of speckle tracking echocardiography data sets derived from patients with known constrictive pericarditis and restrictive cardiomyopathy.